Automating the Derivation of Equations for 1D Mass-Spring-Damper Models in Matlab

It is common to spend considerable time writing and implementing equations for 1D mass-spring-damper dynamics models when teaching the simulation of system dynamics using MATLAB ode solvers. These models typically involve masses, springs, and dashpots. In this paper, the authors present a systematic symbolic calculus approach to automate the process of deriving the necessary equations from the model and first principles. This approach utilizes a table, similar to the connectivity table used in finite element analysis. In this paper, the process is limited to 1D cases but can be used for complex systems by extending the symbolic definitions and equations accordingly. These equations are central to the time integration function, such as the ode45 function in MATLAB. This method streamlines the process of quickly writing and testing different models, reducing frustration caused by minor typographical errors that often arise. First, a basic 1D dynamics model is defined using a simple example. Next, a straightforward MATLAB symbolic code that automatically generates the equations for the subroutine called by the Ordinary Differential Equations (ODE) solver is introduced. Finally, the system's response over time is obtained, including the positions and velocities of the system for the given initial conditions.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-05
DOI
https://doi.org/10.5281/zenodo.15161092
Primary Topic
Modeling and Simulation Systems
Type
article
Field-Weighted Citation Impact
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article

Automating the Derivation of Equations for 1D Mass-Spring-Damper Models in Matlab

Zenodo (CERN European Organization for Nuclear Research)
Modeling and Simulation Systems
article

Automating the Derivation of Equations for 1D Mass-Spring-Damper Models in Matlab

article en

Abstract

It is common to spend considerable time writing and implementing equations for 1D mass-spring-damper dynamics models when teaching the simulation of system dynamics using MATLAB ode solvers. These models typically involve masses, springs, and dashpots. In this paper, the authors present a systematic symbolic calculus approach to automate the process of deriving the necessary equations from the model and first principles. This approach utilizes a table, similar to the connectivity table used in finite element analysis. In this paper, the process is limited to 1D cases but can be used for complex systems by extending the symbolic definitions and equations accordingly. These equations are central to the time integration function, such as the ode45 function in MATLAB. This method streamlines the process of quickly writing and testing different models, reducing frustration caused by minor typographical errors that often arise. First, a basic 1D dynamics model is defined using a simple example. Next, a straightforward MATLAB symbolic code that automatically generates the equations for the subroutine called by the Ordinary Differential Equations (ODE) solver is introduced. Finally, the system's response over time is obtained, including the positions and velocities of the system for the given initial conditions.

Zenodo (CERN European Organization for Nuclear Research)
University of Lisbon (PT), Instituto Superior Técnico (PT)
Quality Education
Openalex Percentile: Top 52%
Modeling and Simulation Systems
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